Steven Wang - 汪上洲

Steven is a data scientist and a Microsoft Certified Solution Expert on Data Platform, MCSA on SQL server 2008/12 and MCITP on BI Developer, Database Developer and DBA.

He is very passionate about data insights, machine learning and MS SQL server technology and business intelligence and has designed and implemented a number of large scale enterprise BI solutions in a variety of industries.

Steven is an active SQL server community participant. He answers questions at MSDN SQL server forum and speaks at events like TechEd, CodeCamp, SQL User Group etc.

Steven is currently head of data science at QuintilesIMS at Sydney Office.

rCharts is an
R package to create, customize and publish interactive javascript
visualizations from R using a familiar lattice style plotting interface.

All of these
three packages are created and maintained by Ramnath
Vaidyanathan of McGill University. Since all
these three packages are not on CRAN and needs to be installed fromgithubusing theHadley's devtools package.

library(devtools)

install_github('ramnathv/slidify')

install_github('ramnathv/slidifyLibraries')

install_github('ramnathv/rCharts')

As Ramnath mentioned in one of this
Slidify workshop, While the installation process fromgithubis
relatively painless for Mac/Linux/Ubuntu users, for the windows users it
is not that luck. I have to confess that when I used the above code to install
these packages it caused a chaos for me. Not only that the package was not
installed properly but also some other installed packages were broken!!!

Thiago Silva’s post Installing Slidify on a Windows
Machine has provided his advice on how he successfully made a workaround. I
will give a step by step guide on top of his blog, which I have successfully
installed these 3 packages in window 7 and windows 10 machines.

3.Unzip packages and you will notice that all
packages have a “-master” suffix in the folder name. “-master’ will need to be
removed as below:

4.Now we will use the build utility from
dvtools package to convert a package source directory into a single bundled
file. If set binary = FALSE, this creates a tar.gz package that can be
installed on any platform, provided they have a full development environment. Now
we will use the below code to build packages: